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spatio-temporal Gaussian process Kalman filter

technology1 mentionslast seen Oct 28, 2026

A framework for learning-based multi-robot informative path planning that uses Gaussian Processes for target uncertainty with decentralized belief updates.

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spatio-temporal Gaussian process Kalman filterdepends onKalman filter93% confidence1 source
spatio-temporal Gaussian process Kalman filterdepends onGaussian process93% confidence1 source
spatio-temporal Gaussian process Kalman filterdepends ondecentralized belief update90% confidence1 source
spatio-temporal Gaussian process Kalman filterdepends onreinforcement learning90% confidence1 source
spatio-temporal Gaussian process Kalman filterapplies tomulti-robot search and monitoring88% confidence1 source
spatio-temporal Gaussian process Kalman filterdepends ondiagonal covariance intersection88% confidence1 source

spatio-temporal Gaussian process Kalman filter

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spatio-temporal Gaussian process Kalman filterdepends ondecentralized belief update

90% confidence1 supporting mentions

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preprintarXivOct 27, 2026Multi-robot Learning-based Informative Path Planning Using Spatio-Temporal Gaussian Process Kalman Filter
For decentralized deployment, each robot maintains its own mapper and exchanges fixed-size belief summaries